[A comparison of convenience sampling and purposive sampling].
[A comparison of convenience sampling and purposive sampling].
复制标题
DOI：
10.6224/jn.61.3.105
复制
发表时间：
2014-06-01
期刊：
影响因子：
--
通讯作者：
Lee, Hao-Hsien
中科院分区：
文献类型：
--
作者：
Suen, Lee-Jen Wu;Huang, Hui-Man;Lee, Hao-Hsien
方便抽样和目的抽样是两种不同的抽样方法。本文首先解释抽样术语，如目标总体、可访问总体、简单随机抽样、预期样本、实际样本和统计功率分析。然后用这些术语来解释“方便抽样”和“目的抽样”之间的区别。方便抽样是一种适用于定性或定量研究的非概率抽样技术，尽管它最常用于定量研究。在方便样本中，研究人员更容易接触到的对象更有可能被包括在内。因此，在定量研究中，目标人群中所有符合条件的个体参与的机会并不均等，研究结果也不一定适用于该人群。在所有的定量研究中，增加样本量会增加便利样本的统计能力。相比之下，有目的的抽样通常用于定性研究。使用这种技术的研究人员根据研究目的仔细选择受试者，期望每个参与者都能为研究提供独特而丰富的有价值的信息。因此，无障碍人口的成员是不可互换的，样本量是由数据饱和度决定的，而不是由统计功率分析决定的。
Convenience sampling and purposive sampling are two different sampling methods. This article first explains sampling terms such as target population, accessible population, simple random sampling, intended sample, actual sample, and statistical power analysis. These terms are then used to explain the difference between "convenience sampling" and purposive sampling." Convenience sampling is a non-probabilistic sampling technique applicable to qualitative or quantitative studies, although it is most frequently used in quantitative studies. In convenience samples, subjects more readily accessible to the researcher are more likely to be included. Thus, in quantitative studies, opportunity to participate is not equal for all qualified individuals in the target population and study results are not necessarily generalizable to this population. As in all quantitative studies, increasing the sample size increases the statistical power of the convenience sample. In contrast, purposive sampling is typically used in qualitative studies. Researchers who use this technique carefully select subjects based on study purpose with the expectation that each participant will provide unique and rich information of value to the study. As a result, members of the accessible population are not interchangeable and sample size is determined by data saturation not by statistical power analysis.